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沈84块沙三下非均质油藏储量计算研究 被引量:16

On Reserve Estimate of Heterogeneous Reservoir in the Lower Es_3 of Block Shen 84
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摘要 雷启鸿 ,宋子齐等 .沈 84块沙三下非均质油藏储量计算研究 .测井技术 ,2 0 0 0 ,2 4(1) :47~ 5 1以沈 84块沙三下 S43 、S43 非均质油藏岩心和试油资料为基础 ,利用灰色系统理论与神经网络技术 ,对该区沙三下S43 、S43 油组开发初期和后期 170多口井的测井地质资料进行处理 ,求取了油藏含油面积、油层有效厚度、孔隙度及原始油、剩余油饱和度等储量参数 ;按小层为储量计算单元 ,提取和集总了各小层储量参数 ,并采用克里金模型网络化参数 ,以网格积分法计算了 S43 、S43 油组 16个小层油藏原始油和剩余油储量 ,分析了 S43 油组 S43 5 、S43 3、S43 4、S43 2 、S43 6 、S43 8、S43 7小层及 S43 油组 S43 1 、S43 2 小层的剩余油分布 。 Based on core data and well testing data from heterogeneous reservoir in S 4 3Ⅲ and S 4 3Ⅳ formation of Block Shen 84, geologic data from more than 170 wells in S 4 3Ⅲ and S 4 3Ⅳ formation at the earlier and later development stages is processed with grey system theory and neural network technique, and reserve parameters such as oil bearing area, oil zone effective thickness, porosity, initial oil saturation and remaining oil saturation have also been obtained.With each member as an unit of reserve estimate, the reserve parameters of each member are extracted and assembled. By using Kriging model network parameters, the initial oil reserve and remaining oil reserve in 16 members in S 4 3Ⅲ and S 4 3Ⅳ formations are calculated with network integral algorithm . And also analyzed is the remaining oil distribution of members S 4 3Ⅲ 5, S 4 3Ⅲ 3,S 4 3Ⅲ 4,S 4 3Ⅲ 2,S 4 3Ⅲ 6,S 4 3Ⅲ 8,S 4 3Ⅲ 7 in S 4 3Ⅲ formation and S 4 3Ⅳ 1,S 4 3Ⅳ 2 in S 4 3Ⅳ formation. The main productive zones of the heterogeneous reservoir in the lower Es 3 are pointed out and the main targets for tapping potentialities are further defined.
出处 《测井技术》 CAS CSCD 北大核心 2000年第1期47-51,共5页 Well Logging Technology
关键词 油藏 参数 神经网络 饱和度 储量 非均质油藏 reservoir parameter neural network saturation reserve calculation
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